34-ai-marketing-os-global

34-ai-marketing-os-global is a skill for Claude Code from minhnv0807/ai-business-skills. It costs 182 tokens per session (2,103 once invoked), scanned A, original, MIT.

A framework for organizing AI-assisted marketing work around shared brand information, defined roles, repeatable workflows, connected tools, and reporting routines. It is intended for teams using AI for marketing.

In plain words
What is it for?
Designing or reviewing an AI marketing operating system, including brand information, role-based projects, workflow chains, tool connections, operating procedures, and data feedback loops.
Why use it?
It addresses scattered prompts, disconnected conversations, missing source information, weak reporting, and unclear handoffs between marketing tasks.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ai-business-skills plugin — 144 skills, 6 agents, 10 MCP servers shipped together

Good fit Designing or reviewing an AI marketing operating system, including brand information, role-based projects, workflow chains, tool connections, operating procedures, and data feedback loops.

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Install with agentmods
npx agentmods add skills/minhnv0807/ai-business-skills/34-ai-marketing-os-global
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add minhnv0807/ai-business-skills --skill 34-ai-marketing-os-global
Clone the repo
git clone --depth 1 https://github.com/minhnv0807/ai-business-skills

Made for: Claude Code.

Or install ai-business-skills, the plugin that ships this one along with the rest of its 144 skills, 6 agents, 10 MCP servers.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for 34-ai-marketing-os-global

README.md
[![agentmods](https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/34-ai-marketing-os-global/github.svg)](https://agentmods.dev/skills/minhnv0807/ai-business-skills/34-ai-marketing-os-global)
Your own site
<a href="https://agentmods.dev/skills/minhnv0807/ai-business-skills/34-ai-marketing-os-global"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/34-ai-marketing-os-global/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for 34-ai-marketing-os-global

Your own site · 80×15
<a href="https://agentmods.dev/skills/minhnv0807/ai-business-skills/34-ai-marketing-os-global"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/34-ai-marketing-os-global.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 182 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,103 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00182 $0.02103
Opus 5 $0.00091 $0.01052
Sonnet 5 $0.00036 $0.00421
Haiku 4.5 $0.00018 $0.00210

Measured 12d ago against content hash 08caea437e67, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

34-ai-marketing-os-global scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/en/34-ai-marketing-os-global/SKILL.md · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Marketing OS (Global)

This skill designs the operating system for AI-assisted marketing: source of truth, roles, skill chains, data loops, review cadence, and handoffs. The goal is to help a team use AI as an operating system, not as scattered one-off prompts.

Information gathering

Read .agents/product-marketing-context-global.md if available. If the user has a plan, dashboard, SOP, Notion/Drive structure, ads report, or campaign brief, use it as input. Ask up to 4 questions: team structure, 90-day goal, current AI/tool stack, and biggest workflow pain. For detailed patterns, read references/ai-marketing-os-playbook.md.

When to use

Use this skill when the user needs to:

  • Build an AI Marketing OS for an SMB, agency, SaaS team, creator-led business, education business, service business, or B2B team.
  • Audit how the team uses AI: repeated prompts, lost context, disconnected chats, weak reporting, or no source of truth.
  • Design a Brand Hub, skill chain, role-based agent/project setup, MCP/connectors, and Notion/Drive second brain.
  • Create daily, weekly, and monthly SOPs for content, performance, campaigns, reporting, and handoffs.

Do not use this skill for a single artifact. Use the relevant older skill instead: 00-marketing-plan-global, 01-content-calendar-global, 02-campaign-brief-global, 05-ad-copy-global, 07-marketing-report-global, 10-reverse-kpi-global, or 31-offer-design-global.

Principles

  1. Brand Hub is the source of truth. Scattered context creates inconsistent agent output.
  2. Roles before tools. Define Strategy, Campaign, Content, Design, Performance, and Sales/RevOps before choosing tools.
  3. Skill chains beat one-off prompts. Every workflow should define input, skill, output, and next skill.
  4. Old data before new plans. New plans should read previous reports, dashboards, bottlenecks, and lessons.
  5. Human approval at risk points. Budget, claims, legal/privacy, brand voice, and campaign launch need review.
  6. Small cycles, steady review. Daily check, weekly decision review, monthly retro, quarterly refresh.

Read the full file on GitHub · 187 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 187 lines · 182 tokens per session scan A 08caea437e67

Subscribe to this mod's changes

34-ai-marketing-os-global is a skill published in the GitHub repository minhnv0807/ai-business-skills (572 stars, last pushed 26d ago), licensed MIT. It adds 182 tokens to every session and 2,103 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.